Tingfan Wu

93 total papers · 6.2k total citations
55 papers, 4.3k citations indexed

About

Tingfan Wu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Hepatology. According to data from OpenAlex, Tingfan Wu has authored 55 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Hepatology. Recurrent topics in Tingfan Wu's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers) and Face and Expression Recognition (8 papers). Tingfan Wu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers) and Face and Expression Recognition (8 papers). Tingfan Wu collaborates with scholars based in China, United States and Germany. Tingfan Wu's co-authors include Ruby C. Weng, Chih‐Jen Lin, Javier R. Movellan, Jacob Whitehill, Paul Ruvolo, Marian Stewart Bartlett, Gwen Littlewort, Ian Fasel, Mark G. Frank and Jerry Pratt and has published in prestigious journals such as Medicine, Neurocomputing and IEEE Transactions on Robotics.

In The Last Decade

Tingfan Wu

51 papers receiving 4.1k citations

Hit Papers

Probability Estimates for... 2003 2026 2010 2018 2004 2003 2009 2011 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tingfan Wu 1.4k 1.1k 543 515 490 55 4.3k
Francis Quek 612 0.4× 1.3k 1.2× 237 0.4× 531 1.0× 213 0.4× 175 3.4k
Jennifer Dy 3.3k 2.4× 1.9k 1.7× 297 0.5× 890 1.7× 214 0.4× 209 7.2k
Yizhou Wang 1.3k 1.0× 3.2k 2.9× 137 0.3× 339 0.7× 89 0.2× 191 5.0k
Tadas Baltrušaitis 1.9k 1.4× 2.6k 2.3× 98 0.2× 338 0.7× 1.7k 3.4× 51 6.3k
Eric Chang 2.3k 1.7× 1.2k 1.1× 81 0.1× 769 1.5× 192 0.4× 96 4.1k
Sadiq Hussain 1.4k 1.0× 407 0.4× 346 0.6× 607 1.2× 49 0.1× 102 5.1k
Marina Sokolova 1.9k 1.4× 669 0.6× 57 0.1× 282 0.5× 113 0.2× 57 4.6k
Panagiotis Pintelas 1.5k 1.1× 359 0.3× 477 0.9× 195 0.4× 76 0.2× 96 4.0k
Muhammad Sajjad 1.5k 1.1× 2.8k 2.5× 49 0.1× 363 0.7× 412 0.8× 115 4.9k
Prayag Tiwari 2.7k 2.0× 1.5k 1.3× 52 0.1× 1.3k 2.5× 489 1.0× 223 6.9k

Countries citing papers authored by Tingfan Wu

Since Specialization
Citations

This map shows the geographic impact of Tingfan Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tingfan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingfan Wu more than expected).

Fields of papers citing papers by Tingfan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tingfan Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tingfan Wu. The network helps show where Tingfan Wu may publish in the future.

Co-authorship network of co-authors of Tingfan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tingfan Wu. A scholar is included among the top collaborators of Tingfan Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tingfan Wu. Tingfan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026